Repository logo
 
No Thumbnail Available
Publication

Sparse designs for estimating variance components of nested factors with random effects

Use this identifier to reference this record.
Name:Description:Size:Format: 
Sparse_PRamos.pdf518.66 KBAdobe PDF Download

Advisor(s)

Abstract(s)

A new class of designs is introduced for both estimating the variance components of nested factors and testing hypotheses about those variance components. These designs are flexible, and can be chosen so that the degrees of freedom are more evenly spread among the factors than they are in balanced nested designs. The variances of the estimators are smaller than those in stair nested designs of comparable size. The mean squares used in the estimation process are mutually independent, which avoids some of the problems with staggered nested designs.

Description

Keywords

Balanced nested designs Nested factors Staggered nested designs Stair nested designs Variance components

Citation

BAILEY, R. A.; FERNANDES, Célia; RAMOS, Paulo – Sparse designs for estimating variance components of nested factors with random effects. Journal of Statistical Planning and Inference. ISSN 0378-3758. Vol. 214 (2021), pp. 76-88

Research Projects

Organizational Units

Journal Issue

Publisher

Elsevier

CC License

Altmetrics